Jian K. Liu
Orcid: 0000-0002-5391-7213
According to our database1,
Jian K. Liu
authored at least 56 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Artif. Intell., August, 2024
Hierarchical Spiking-Based Model for Efficient Image Classification With Enhanced Feature Extraction and Encoding.
IEEE Trans. Neural Networks Learn. Syst., July, 2024
High-performance deep spiking neural networks via at-most-two-spike exponential coding.
Neural Networks, 2024
Hierarchical reinforcement learning from imperfect demonstrations through reachable coverage-based subgoal filtering.
Knowl. Based Syst., 2024
CoRR, 2024
Converting High-Performance and Low-Latency SNNs through Explicit Modelling of Residual Error in ANNs.
CoRR, 2024
Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Cogn. Dev. Syst., December, 2023
HybridGCN for protein solubility prediction with adaptive weighting of multiple features.
J. Cheminformatics, December, 2023
HybridSNN: Combining Bio-Machine Strengths by Boosting Adaptive Spiking Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
IEEE Trans. Cogn. Dev. Syst., September, 2023
Neural Networks, August, 2023
IEEE Trans. Instrum. Meas., 2023
IEEE Trans. Cogn. Dev. Syst., 2023
PLoS Comput. Biol., 2023
CoRR, 2023
Biologically inspired structure learning with reverse knowledge distillation for spiking neural networks.
CoRR, 2023
Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Cybern., 2022
IEEE Trans. Cybern., 2022
Simple model for encoding natural images by retinal ganglion cells with nonlinear spatial integration.
PLoS Comput. Biol., 2022
Patterns, 2022
Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual Cortex.
Neural Comput., 2022
Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches.
Int. J. Autom. Comput., 2022
Compensatory mechanism of attention-deficit/hyperactivity disorder recovery in resting state alpha rhythms.
Frontiers Comput. Neurosci., 2022
SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Biologically Plausible Variational Policy Gradient with Spiking Recurrent Winner-Take-All Networks.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
Modulation of the dynamics of cerebellar Purkinje cells through the interaction of excitatory and inhibitory feedforward pathways.
PLoS Comput. Biol., 2021
Regulating synchronous oscillations of cerebellar granule cells by different types of inhibition.
PLoS Comput. Biol., 2021
PLoS Comput. Biol., 2021
Unraveling neural coding of dynamic natural visual scenes via convolutional recurrent neural networks.
Patterns, 2021
Neural Comput., 2021
2020
Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All.
IEEE Trans. Cybern., 2020
Sampling-Tree Model: Efficient Implementation of Distributed Bayesian Inference in Neural Networks.
IEEE Trans. Cogn. Dev. Syst., 2020
Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation.
Neural Networks, 2020
Reconstruction of natural visual scenes from neural spikes with deep neural networks.
Neural Networks, 2020
Frontiers Comput. Neurosci., 2020
Simultaneous Neural Spike Encoding and Decoding Based on Cross-modal Dual Deep Generative Model.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Neurocomputing, 2019
Computational modelling of salamander retinal ganglion cells using machine learning approaches.
Neurocomputing, 2019
Frontiers Comput. Neurosci., 2019
Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks.
CoRR, 2019
IEEE Access, 2019
2018
Bioinspired Approach to Modeling Retinal Ganglion Cells Using System Identification Techniques.
IEEE Trans. Neural Networks Learn. Syst., 2018
Characterizing Neuronal Circuits with Spike-triggered Non-negative Matrix Factorization.
CoRR, 2018
CoRR, 2018
A simple blind-denoising filter inspired by electrically coupled photoreceptors in the retina.
CoRR, 2018
Proceedings of the 26th Euromicro International Conference on Parallel, 2018
2017
2016
Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains.
PLoS Comput. Biol., 2016
2015
Spike-Triggered Covariance Analysis Reveals Phenomenological Diversity of Contrast Adaptation in the Retina.
PLoS Comput. Biol., 2015
2011
Neural Comput., 2011